摘要
针对矿用巡检机器人在井下搜索误差大、碰撞时间长的问题,将柯西-高斯变异原理引入鲸鱼优化算法(WOA),实现了矿用巡检机器人目标寻优的全局性搜索。经对比验证,该改进鲸鱼优化算法(MWOA)寻优轨迹更加明显,体现了其优越性。
Aiming at the problems of large search error and long collision time for mining inspection robot in underground,introduced Cauchy-Gauss variation principle into whale optimization algorithm(WOA),which realizes the mining inspection robot target seeking optimal global search.Through the comparison and verification,the modified whale optimization algorithm(MWOA)makes more obvious search for the optimal trajectory,which reflectes the superiority.
作者
牛乃平
翟德华
季海涛
Niu Naiping;Zhai Dehua;Ji Haitao(Shanxi Keda Automatic Control Co.,Ltd.,Taiyuan 030006,China;Anhui University of Science and Technology,Huainan 232001,China)
出处
《煤矿机械》
2024年第6期215-217,共3页
Coal Mine Machinery
基金
山西省重点研发计划项目(202102010101005)。
